Literature DB >> 27923384

The quality of reporting in cluster randomised crossover trials: proposal for reporting items and an assessment of reporting quality.

Sarah J Arnup1, Andrew B Forbes1, Brennan C Kahan2, Katy E Morgan3, Joanne E McKenzie4.   

Abstract

BACKGROUND: The cluster randomised crossover (CRXO) design is gaining popularity in trial settings where individual randomisation or parallel group cluster randomisation is not feasible or practical. Our aim is to stimulate discussion on the content of a reporting guideline for CRXO trials and to assess the reporting quality of published CRXO trials.
METHODS: We undertook a systematic review of CRXO trials. Searches of MEDLINE, EMBASE, and CINAHL Plus as well as citation searches of CRXO methodological articles were conducted to December 2014. Reporting quality was assessed against both modified items from 2010 CONSORT and 2012 cluster trials extension and other proposed quality measures.
RESULTS: Of the 3425 records identified through database searching, 83 trials met the inclusion criteria. Trials were infrequently identified as "cluster randomis(z)ed crossover" in title (n = 7, 8%) or abstract (n = 21, 25%), and a rationale for the design was infrequently provided (n = 20, 24%). Design parameters such as the number of clusters and number of periods were well reported. Discussion of carryover took place in only 17 trials (20%). Sample size methods were only reported in 58% (n = 48) of trials. A range of approaches were used to report baseline characteristics. The analysis method was not adequately reported in 23% (n = 19) of trials. The observed within-cluster within-period intracluster correlation and within-cluster between-period intracluster correlation for the primary outcome data were not reported in any trial. The potential for selection, performance, and detection bias could be evaluated in 30%, 81%, and 70% of trials, respectively.
CONCLUSIONS: There is a clear need to improve the quality of reporting in CRXO trials. Given the unique features of a CRXO trial, it is important to develop a CONSORT extension. Consensus amongst trialists on the content of such a guideline is essential.

Entities:  

Keywords:  Cluster; Cluster randomised crossover trial; Crossover; Reporting quality

Mesh:

Year:  2016        PMID: 27923384      PMCID: PMC5142135          DOI: 10.1186/s13063-016-1685-6

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  19 in total

Review 1.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials.

Authors:  D Moher; K F Schulz; D Altman
Journal:  JAMA       Date:  2001-04-18       Impact factor: 56.272

Review 2.  Appropriate statistical methods were infrequently used in cluster-randomized crossover trials.

Authors:  Sarah J Arnup; Andrew B Forbes; Brennan C Kahan; Katy E Morgan; Joanne E McKenzie
Journal:  J Clin Epidemiol       Date:  2015-11-26       Impact factor: 6.437

3.  Cluster-crossover design: a method for limiting clusters level effect in community-intervention studies.

Authors:  Jean-Jacques Parienti; Oliver Kuss
Journal:  Contemp Clin Trials       Date:  2006-10-06       Impact factor: 2.226

4.  Sample size calculation for cluster randomized cross-over trials.

Authors:  B Giraudeau; P Ravaud; A Donner
Journal:  Stat Med       Date:  2008-11-29       Impact factor: 2.373

Review 5.  Reporting and methodological quality of sample size calculations in cluster randomized trials could be improved: a review.

Authors:  Clare Rutterford; Monica Taljaard; Stephanie Dixon; Andrew Copas; Sandra Eldridge
Journal:  J Clin Epidemiol       Date:  2014-12-15       Impact factor: 6.437

6.  The quality of reports of randomised trials in 2000 and 2006: comparative study of articles indexed in PubMed.

Authors:  Sally Hopewell; Susan Dutton; Ly-Mee Yu; An-Wen Chan; Douglas G Altman
Journal:  BMJ       Date:  2010-03-23

7.  The use of the cluster randomized crossover design in clinical trials: protocol for a systematic review.

Authors:  Sarah J Arnup; Andrew B Forbes; Brennan C Kahan; Katy E Morgan; Steve McDonald; Joanne E McKenzie
Journal:  Syst Rev       Date:  2014-08-12

Review 8.  Design, analysis, and presentation of crossover trials.

Authors:  Edward J Mills; An-Wen Chan; Ping Wu; Andy Vail; Gordon H Guyatt; Douglas G Altman
Journal:  Trials       Date:  2009-04-30       Impact factor: 2.279

9.  Analysis of cluster randomized cross-over trial data: a comparison of methods.

Authors:  Rebecca M Turner; Ian R White; Tim Croudace
Journal:  Stat Med       Date:  2007-01-30       Impact factor: 2.373

10.  Preventing bias in cluster randomised trials.

Authors:  Bruno Giraudeau; Philippe Ravaud
Journal:  PLoS Med       Date:  2009-05-05       Impact factor: 11.069

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  6 in total

Review 1.  Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design.

Authors:  Elizabeth L Turner; Fan Li; John A Gallis; Melanie Prague; David M Murray
Journal:  Am J Public Health       Date:  2017-04-20       Impact factor: 9.308

2.  Issues with data and analyses: Errors, underlying themes, and potential solutions.

Authors:  Andrew W Brown; Kathryn A Kaiser; David B Allison
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-13       Impact factor: 11.205

3.  Cluster-randomized crossover trial of chlorhexidine-alcohol versus iodine-alcohol for prevention of surgical-site infection (SKINFECT trial).

Authors:  L S Aho Glélé; P Ortega-Deballon; A Guilloteau; O Keita-Perse; K Astruc; D Lepelletier
Journal:  BJS Open       Date:  2020-04-30

4.  Current practice in methodology and reporting of the sample size calculation in randomised trials of hip and knee osteoarthritis: a protocol for a systematic review.

Authors:  Bethan Copsey; Susan Dutton; Ray Fitzpatrick; Sarah E Lamb; Jonathan A Cook
Journal:  Trials       Date:  2017-10-10       Impact factor: 2.279

5.  The cluster randomized crossover trial: The effects of attrition in the AB/BA design and how to account for it in sample size calculations.

Authors:  Mirjam Moerbeek
Journal:  Clin Trials       Date:  2020-03-19       Impact factor: 2.486

6.  Cluster identification, selection, and description in cluster randomized crossover trials: the PREP-IT trials.

Authors:  Sheila Sprague; Taryn Scott; Shannon Dodds; David Pogorzelski; Paula McKay; Anthony D Harris; Amber Wood; Lehana Thabane; Mohit Bhandari; Samir Mehta; Greg Gaski; Christina Boulton; Francesc Marcano-Fernández; Ernesto Guerra-Farfán; Joan Hebden; Lyndsay M O'Hara; Gerard P Slobogean
Journal:  Trials       Date:  2020-08-12       Impact factor: 2.279

  6 in total

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